1117 Analytics Engineer jobs in New York,NY

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

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Information Technology Professional (IT Support)

U.S. Navy

Hoboken, NJ 07030

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Remote Customer Service

Hire Standard Staffing

New York, NY

$120,000/yr

RemoteHealth Insurance

Must be a U.S. or Canadian citizen

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Strategic Analyst

Disability Solutions

New York, NY 10261

New, Posted 21 hours ago

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Engineering Program Manager

Keurig Dr Pepper

New York, NY 10012

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree in Mechanical, Electrical, Industrial, or Chemical Engineering
8+ years of capital engineering project based experience.
Experience managing projects in the $100k -25 Million range
PMP certified or the ability to obtain certification within 12 months of employment.
Experience with technologies including CSD, Juices and Teas, Aseptic, manufacturing equipment including Fillers, Cappers, Conveyance, Packers, Palletizers, Control Systems, RO, and Batch/CIP systems.
Ability to travel for overnight travel +50%
Ability to work independently as a 100% remote employee.

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Engineering Operations Coordinator

ROW NYC

New York, NY 10036

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Compensation & Retirement Analyst

MJHS

New York, NY 10040

Onsite

Bachelor's degree in Human Resources, Business Administration, Finance, or a related field.
Minimum of 3–5 years of experience in compensation required.
Working knowledge of compensation principles, retirement plans, and related regulatory requirements.
Experience supporting merit, bonus, and pay administration cycles.
Proficiency with HRIS systems, payroll platforms, and Microsoft Office applications.

SmartExplore AI is experimental.